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Computer Networks, Big Data and IoT [electronic resource] : Proceedings of ICCBI 2020 / edited by A.Pasumpon Pandian, Xavier Fernando, Syed Mohammed Shamsul Islam.

Contributor(s): Pandian, A.Pasumpon [editor.] | Fernando, Xavier [editor.] | Islam, Syed Mohammed Shamsul [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes on Data Engineering and Communications Technologies: 66Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XXII, 991 p. 438 illus., 327 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789811609657.Subject(s): Telecommunication | Artificial intelligence—Data processing | Internet of things | Big data | Communications Engineering, Networks | Data Science | Internet of Things | Big DataAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 621.382 Online resources: Click here to access online
Contents:
Maximizing Network Lifetime in WSN using Ant Colony Algorithm -- Deep Ensemble Approach for Question Answer System -- Information Sharing Over Social Media Analysis Using Centrality Measure -- Indoor Mobile Robot Navigation using Deep Convolutional Neural Network -- Etaheuristic Enabled Shortest Path Selection for IoT based Wireless Sensor Network -- Generation of Random Binary Sequence using Adaptive Row-Column Approach and Synthetic Colour Image -- A Study of Mobile Adhoc Network and its Performance Optimizaiton Algorithm -- Sentimental Analysis on Twitter Data of Political Domain -- Big Social Media Analytics: Applications and Challenges -- Intelligent Computing Application for Cloud Enhancing Health Care Services -- Corona Virus Detection and Classification using X-Rays and CT Scans with Machine Learning Techniques -- Security Issues and Solutions in E-Health and Telemedicine -- Accident Alert System with False Alarm Switch -- A Deep Learning Approach to Detect Lumpy Skin Disease in Cows -- Algorithmic Trading using Machine Learning and Neural Network -- Analysis on Intrusion Detection System using Machine Learning Techniques -- Content Related Feature Analysis for Fake Online Consumer Review Detection -- Approaches in Assistive Technology: A Survey on Existing Assistive Wearable Technology for The Visually-Impaired -- Filter Bank Multicarrier Systems using Gaussian Pulse based Filter Design for 5G Technologies -- Data Streaming Architecture for Visualizing Cryptocurrency Temporal Data -- Integration of IoT and SDN to Mitigate DDoS with RYU Controller -- A Framework for monitoring Patient’s Vital Signs with Internet-of-Things and Blockchain Technology -- Network Intrusion Detection using Cross Bagging based Stacking Model -- Performance Study of Free Space Optical System under Varied Atmospheric Conditions -- Review on Energy Efficient Routing Protocols in WSN.Comparative Analysis of Traffic and Congestion in Software Defined Networks -- Automatic Vehicle Service Monitoring and Tracking System using IoT and Machine Learning.
In: Springer Nature eBookSummary: This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15–16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.
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Maximizing Network Lifetime in WSN using Ant Colony Algorithm -- Deep Ensemble Approach for Question Answer System -- Information Sharing Over Social Media Analysis Using Centrality Measure -- Indoor Mobile Robot Navigation using Deep Convolutional Neural Network -- Etaheuristic Enabled Shortest Path Selection for IoT based Wireless Sensor Network -- Generation of Random Binary Sequence using Adaptive Row-Column Approach and Synthetic Colour Image -- A Study of Mobile Adhoc Network and its Performance Optimizaiton Algorithm -- Sentimental Analysis on Twitter Data of Political Domain -- Big Social Media Analytics: Applications and Challenges -- Intelligent Computing Application for Cloud Enhancing Health Care Services -- Corona Virus Detection and Classification using X-Rays and CT Scans with Machine Learning Techniques -- Security Issues and Solutions in E-Health and Telemedicine -- Accident Alert System with False Alarm Switch -- A Deep Learning Approach to Detect Lumpy Skin Disease in Cows -- Algorithmic Trading using Machine Learning and Neural Network -- Analysis on Intrusion Detection System using Machine Learning Techniques -- Content Related Feature Analysis for Fake Online Consumer Review Detection -- Approaches in Assistive Technology: A Survey on Existing Assistive Wearable Technology for The Visually-Impaired -- Filter Bank Multicarrier Systems using Gaussian Pulse based Filter Design for 5G Technologies -- Data Streaming Architecture for Visualizing Cryptocurrency Temporal Data -- Integration of IoT and SDN to Mitigate DDoS with RYU Controller -- A Framework for monitoring Patient’s Vital Signs with Internet-of-Things and Blockchain Technology -- Network Intrusion Detection using Cross Bagging based Stacking Model -- Performance Study of Free Space Optical System under Varied Atmospheric Conditions -- Review on Energy Efficient Routing Protocols in WSN.Comparative Analysis of Traffic and Congestion in Software Defined Networks -- Automatic Vehicle Service Monitoring and Tracking System using IoT and Machine Learning.

This book presents best selected research papers presented at the International Conference on Computer Networks, Big Data and IoT (ICCBI 2020), organized by Vaigai College Engineering, Madurai, Tamil Nadu, India, during 15–16 December 2020. The book covers original papers on computer networks, network protocols and wireless networks, data communication technologies and network security. The book is a valuable resource and reference for researchers, instructors, students, scientists, engineers, managers and industry practitioners in those important areas.

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